Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	10127
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.8 MiB
Average record size in memory	184.0 B

Variable types

Numeric	17
Categorical	6

Warnings

`Credit_Limit` is highly correlated with `Avg_Open_To_Buy`	High correlation
`Avg_Open_To_Buy` is highly correlated with `Credit_Limit`	High correlation
`Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1` is highly correlated with `Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2`	High correlation
`Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2` is highly correlated with `Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1`	High correlation
`CLIENTNUM` has unique values	Unique
`Dependent_count` has 904 (8.9%) zeros	Zeros
`Contacts_Count_12_mon` has 399 (3.9%) zeros	Zeros
`Total_Revolving_Bal` has 2470 (24.4%) zeros	Zeros
`Avg_Utilization_Ratio` has 2470 (24.4%) zeros	Zeros

Reproduction

Analysis started	2021-05-03 07:11:55.057133
Analysis finished	2021-05-03 07:12:30.168061
Duration	35.11 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

CLIENTNUM
Real number (ℝ_≥0)

UNIQUE

Distinct	10127
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	739177606.3
Minimum	708082083
Maximum	828343083
Zeros	0
Zeros (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	708082083
5-th percentile	709120390.5
Q1	713036770.5
median	717926358
Q3	773143533
95-th percentile	814212033
Maximum	828343083
Range	120261000
Interquartile range (IQR)	60106762.5

Descriptive statistics

Standard deviation	36903783.45
Coefficient of variation (CV)	0.04992546194
Kurtosis	-0.6156397044
Mean	739177606.3
Median Absolute Deviation (MAD)	6347700
Skewness	0.9956010103
Sum	7.485651619 × 10¹²
Variance	1.361889233 × 10¹⁵
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
780097533	1	< 0.1%
720049083	1	< 0.1%
717376758	1	< 0.1%
720598308	1	< 0.1%
719930658	1	< 0.1%
716805408	1	< 0.1%
819997983	1	< 0.1%
778191933	1	< 0.1%
824165658	1	< 0.1%
771220758	1	< 0.1%
Other values (10117)	10117	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
708082083	1	< 0.1%
708083283	1	< 0.1%
708084558	1	< 0.1%
708085458	1	< 0.1%
708086958	1	< 0.1%

Value	Count	Frequency (%)
828343083	1	< 0.1%
828298908	1	< 0.1%
828294933	1	< 0.1%
828291858	1	< 0.1%
828288333	1	< 0.1%

Attrition_Flag
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

Existing Customer	8500
Attrited Customer	1627

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	172159
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Existing Customer
2nd row	Existing Customer
3rd row	Existing Customer
4th row	Existing Customer
5th row	Existing Customer

Value	Count	Frequency (%)
Existing Customer	8500	83.9%
Attrited Customer	1627	16.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
customer	10127	50.0%
existing	8500	42.0%
attrited	1627	8.0%

Most occurring characters

Value	Count	Frequency (%)
t	23508	13.7%
i	18627	10.8%
s	18627	10.8%
e	11754	6.8%
r	11754	6.8%
	10127	5.9%
C	10127	5.9%
u	10127	5.9%
o	10127	5.9%
m	10127	5.9%
Other values (6)	37254	21.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	141778	82.4%
Uppercase Letter	20254	11.8%
Space Separator	10127	5.9%

Most frequent character per category

Value	Count	Frequency (%)
t	23508	16.6%
i	18627	13.1%
s	18627	13.1%
e	11754	8.3%
r	11754	8.3%
u	10127	7.1%
o	10127	7.1%
m	10127	7.1%
x	8500	6.0%
n	8500	6.0%
Other values (2)	10127	7.1%

Value	Count	Frequency (%)
C	10127	50.0%
E	8500	42.0%
A	1627	8.0%

Value	Count	Frequency (%)
	10127	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	162032	94.1%
Common	10127	5.9%

Most frequent character per script

Value	Count	Frequency (%)
t	23508	14.5%
i	18627	11.5%
s	18627	11.5%
e	11754	7.3%
r	11754	7.3%
C	10127	6.2%
u	10127	6.2%
o	10127	6.2%
m	10127	6.2%
E	8500	5.2%
Other values (5)	28754	17.7%

Value	Count	Frequency (%)
	10127	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	172159	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	23508	13.7%
i	18627	10.8%
s	18627	10.8%
e	11754	6.8%
r	11754	6.8%
	10127	5.9%
C	10127	5.9%
u	10127	5.9%
o	10127	5.9%
m	10127	5.9%
Other values (6)	37254	21.6%

Customer_Age
Real number (ℝ_≥0)

Distinct	45
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	46.3259603
Minimum	26
Maximum	73
Zeros	0
Zeros (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	26
5-th percentile	33
Q1	41
median	46
Q3	52
95-th percentile	60
Maximum	73
Range	47
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.016814033
Coefficient of variation (CV)	0.1730523011
Kurtosis	-0.2886199153
Mean	46.3259603
Median Absolute Deviation (MAD)	6
Skewness	-0.03360501632
Sum	469143
Variance	64.26930723
Monotocity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
44	500	4.9%
49	495	4.9%
46	490	4.8%
45	486	4.8%
47	479	4.7%
43	473	4.7%
48	472	4.7%
50	452	4.5%
42	426	4.2%
51	398	3.9%
Other values (35)	5456	53.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
26	78	0.8%
27	32	0.3%
28	29	0.3%
29	56	0.6%
30	70	0.7%

Value	Count	Frequency (%)
73	1	< 0.1%
70	1	< 0.1%
68	2	< 0.1%
67	4	< 0.1%
66	2	< 0.1%

Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

F	5358
M	4769

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10127
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	F
3rd row	M
4th row	F
5th row	M

Value	Count	Frequency (%)
F	5358	52.9%
M	4769	47.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
f	5358	52.9%
m	4769	47.1%

Most occurring characters

Value	Count	Frequency (%)
F	5358	52.9%
M	4769	47.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	10127	100.0%

Most frequent character per category

Value	Count	Frequency (%)
F	5358	52.9%
M	4769	47.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10127	100.0%

Most frequent character per script

Value	Count	Frequency (%)
F	5358	52.9%
M	4769	47.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10127	100.0%

Most frequent character per block

Value	Count	Frequency (%)
F	5358	52.9%
M	4769	47.1%

Dependent_count
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.346203219
Minimum	0
Maximum	5
Zeros	904
Zeros (%)	8.9%
Memory size	79.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.298908349
Coefficient of variation (CV)	0.5536214162
Kurtosis	-0.6830166531
Mean	2.346203219
Median Absolute Deviation (MAD)	1
Skewness	-0.02082553562
Sum	23760
Variance	1.687162899
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	2732	27.0%
2	2655	26.2%
1	1838	18.1%
4	1574	15.5%
0	904	8.9%
5	424	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	904	8.9%
1	1838	18.1%
2	2655	26.2%
3	2732	27.0%
4	1574	15.5%

Value	Count	Frequency (%)
5	424	4.2%
4	1574	15.5%
3	2732	27.0%
2	2655	26.2%
1	1838	18.1%

Education_Level
Categorical

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

Graduate	3128
High School	2013
Unknown	1519
Uneducated	1487
College	1013
Other values (2)	967

Length

Max length	13
Median length	8
Mean length	8.939271255
Min length	7

Characters and Unicode

Total characters	90528
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High School
2nd row	Graduate
3rd row	Graduate
4th row	High School
5th row	Uneducated

Value	Count	Frequency (%)
Graduate	3128	30.9%
High School	2013	19.9%
Unknown	1519	15.0%
Uneducated	1487	14.7%
College	1013	10.0%
Post-Graduate	516	5.1%
Doctorate	451	4.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
graduate	3128	25.8%
high	2013	16.6%
school	2013	16.6%
unknown	1519	12.5%
uneducated	1487	12.2%
college	1013	8.3%
post-graduate	516	4.3%
doctorate	451	3.7%

Most occurring characters

Value	Count	Frequency (%)
a	9226	10.2%
e	9095	10.0%
o	7976	8.8%
d	6618	7.3%
t	6549	7.2%
n	6044	6.7%
u	5131	5.7%
r	4095	4.5%
l	4039	4.5%
h	4026	4.4%
Other values (15)	27729	30.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	75343	83.2%
Uppercase Letter	12656	14.0%
Space Separator	2013	2.2%
Dash Punctuation	516	0.6%

Most frequent character per category

Value	Count	Frequency (%)
a	9226	12.2%
e	9095	12.1%
o	7976	10.6%
d	6618	8.8%
t	6549	8.7%
n	6044	8.0%
u	5131	6.8%
r	4095	5.4%
l	4039	5.4%
h	4026	5.3%
Other values (6)	12544	16.6%

Value	Count	Frequency (%)
G	3644	28.8%
U	3006	23.8%
H	2013	15.9%
S	2013	15.9%
C	1013	8.0%
P	516	4.1%
D	451	3.6%

Value	Count	Frequency (%)
	2013	100.0%

Value	Count	Frequency (%)
-	516	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	87999	97.2%
Common	2529	2.8%

Most frequent character per script

Value	Count	Frequency (%)
a	9226	10.5%
e	9095	10.3%
o	7976	9.1%
d	6618	7.5%
t	6549	7.4%
n	6044	6.9%
u	5131	5.8%
r	4095	4.7%
l	4039	4.6%
h	4026	4.6%
Other values (13)	25200	28.6%

Value	Count	Frequency (%)
	2013	79.6%
-	516	20.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	90528	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	9226	10.2%
e	9095	10.0%
o	7976	8.8%
d	6618	7.3%
t	6549	7.2%
n	6044	6.7%
u	5131	5.7%
r	4095	4.5%
l	4039	4.5%
h	4026	4.4%
Other values (15)	27729	30.6%

Marital_Status
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

Married	4687
Single	3943
Unknown	749
Divorced	748

Length

Max length	8
Median length	7
Mean length	6.684506764
Min length	6

Characters and Unicode

Total characters	67694
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Married
2nd row	Single
3rd row	Married
4th row	Unknown
5th row	Married

Value	Count	Frequency (%)
Married	4687	46.3%
Single	3943	38.9%
Unknown	749	7.4%
Divorced	748	7.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
married	4687	46.3%
single	3943	38.9%
unknown	749	7.4%
divorced	748	7.4%

Most occurring characters

Value	Count	Frequency (%)
r	10122	15.0%
i	9378	13.9%
e	9378	13.9%
n	6190	9.1%
d	5435	8.0%
M	4687	6.9%
a	4687	6.9%
S	3943	5.8%
g	3943	5.8%
l	3943	5.8%
Other values (7)	5988	8.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	57567	85.0%
Uppercase Letter	10127	15.0%

Most frequent character per category

Value	Count	Frequency (%)
r	10122	17.6%
i	9378	16.3%
e	9378	16.3%
n	6190	10.8%
d	5435	9.4%
a	4687	8.1%
g	3943	6.8%
l	3943	6.8%
o	1497	2.6%
k	749	1.3%
Other values (3)	2245	3.9%

Value	Count	Frequency (%)
M	4687	46.3%
S	3943	38.9%
U	749	7.4%
D	748	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	67694	100.0%

Most frequent character per script

Value	Count	Frequency (%)
r	10122	15.0%
i	9378	13.9%
e	9378	13.9%
n	6190	9.1%
d	5435	8.0%
M	4687	6.9%
a	4687	6.9%
S	3943	5.8%
g	3943	5.8%
l	3943	5.8%
Other values (7)	5988	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	67694	100.0%

Most frequent character per block

Value	Count	Frequency (%)
r	10122	15.0%
i	9378	13.9%
e	9378	13.9%
n	6190	9.1%
d	5435	8.0%
M	4687	6.9%
a	4687	6.9%
S	3943	5.8%
g	3943	5.8%
l	3943	5.8%
Other values (7)	5988	8.8%

Income_Category
Categorical

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

Less than $40K	3561
$40K - $60K	1790
$80K - $120K	1535
$60K - $80K	1402
Unknown	1112

Length

Max length	14
Median length	12
Mean length	11.4801027
Min length	7

Characters and Unicode

Total characters	116259
Distinct characters	22
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$60K - $80K
2nd row	Less than $40K
3rd row	$80K - $120K
4th row	Less than $40K
5th row	$60K - $80K

Value	Count	Frequency (%)
Less than $40K	3561	35.2%
$40K - $60K	1790	17.7%
$80K - $120K	1535	15.2%
$60K - $80K	1402	13.8%
Unknown	1112	11.0%
$120K +	727	7.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
	5454	19.9%
40k	5351	19.5%
than	3561	13.0%
less	3561	13.0%
60k	3192	11.6%
80k	2937	10.7%
120k	2262	8.2%
unknown	1112	4.1%

Most occurring characters

Value	Count	Frequency (%)
	17303	14.9%
$	13742	11.8%
0	13742	11.8%
K	13742	11.8%
s	7122	6.1%
n	6897	5.9%
4	5351	4.6%
-	4727	4.1%
L	3561	3.1%
e	3561	3.1%
Other values (12)	26511	22.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31599	27.2%
Decimal Number	29746	25.6%
Uppercase Letter	18415	15.8%
Space Separator	17303	14.9%
Currency Symbol	13742	11.8%
Dash Punctuation	4727	4.1%
Math Symbol	727	0.6%

Most frequent character per category

Value	Count	Frequency (%)
s	7122	22.5%
n	6897	21.8%
e	3561	11.3%
t	3561	11.3%
h	3561	11.3%
a	3561	11.3%
k	1112	3.5%
o	1112	3.5%
w	1112	3.5%

Value	Count	Frequency (%)
0	13742	46.2%
4	5351	18.0%
6	3192	10.7%
8	2937	9.9%
1	2262	7.6%
2	2262	7.6%

Value	Count	Frequency (%)
K	13742	74.6%
L	3561	19.3%
U	1112	6.0%

Value	Count	Frequency (%)
$	13742	100.0%

Value	Count	Frequency (%)
	17303	100.0%

Value	Count	Frequency (%)
-	4727	100.0%

Value	Count	Frequency (%)
+	727	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	66245	57.0%
Latin	50014	43.0%

Most frequent character per script

Value	Count	Frequency (%)
K	13742	27.5%
s	7122	14.2%
n	6897	13.8%
L	3561	7.1%
e	3561	7.1%
t	3561	7.1%
h	3561	7.1%
a	3561	7.1%
U	1112	2.2%
k	1112	2.2%
Other values (2)	2224	4.4%

Value	Count	Frequency (%)
	17303	26.1%
$	13742	20.7%
0	13742	20.7%
4	5351	8.1%
-	4727	7.1%
6	3192	4.8%
8	2937	4.4%
1	2262	3.4%
2	2262	3.4%
+	727	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	116259	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	17303	14.9%
$	13742	11.8%
0	13742	11.8%
K	13742	11.8%
s	7122	6.1%
n	6897	5.9%
4	5351	4.6%
-	4727	4.1%
L	3561	3.1%
e	3561	3.1%
Other values (12)	26511	22.8%

Card_Category
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	79.2 KiB

Blue	9436
Silver	555
Gold	116
Platinum	20

Length

Max length	8
Median length	4
Mean length	4.117507653
Min length	4

Characters and Unicode

Total characters	41698
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Blue
2nd row	Blue
3rd row	Blue
4th row	Blue
5th row	Blue

Value	Count	Frequency (%)
Blue	9436	93.2%
Silver	555	5.5%
Gold	116	1.1%
Platinum	20	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
blue	9436	93.2%
silver	555	5.5%
gold	116	1.1%
platinum	20	0.2%

Most occurring characters

Value	Count	Frequency (%)
l	10127	24.3%
e	9991	24.0%
u	9456	22.7%
B	9436	22.6%
i	575	1.4%
S	555	1.3%
v	555	1.3%
r	555	1.3%
G	116	0.3%
o	116	0.3%
Other values (6)	216	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31571	75.7%
Uppercase Letter	10127	24.3%

Most frequent character per category

Value	Count	Frequency (%)
l	10127	32.1%
e	9991	31.6%
u	9456	30.0%
i	575	1.8%
v	555	1.8%
r	555	1.8%
o	116	0.4%
d	116	0.4%
a	20	0.1%
t	20	0.1%
Other values (2)	40	0.1%

Value	Count	Frequency (%)
B	9436	93.2%
S	555	5.5%
G	116	1.1%
P	20	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41698	100.0%

Most frequent character per script

Value	Count	Frequency (%)
l	10127	24.3%
e	9991	24.0%
u	9456	22.7%
B	9436	22.6%
i	575	1.4%
S	555	1.3%
v	555	1.3%
r	555	1.3%
G	116	0.3%
o	116	0.3%
Other values (6)	216	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41698	100.0%

Most frequent character per block

Value	Count	Frequency (%)
l	10127	24.3%
e	9991	24.0%
u	9456	22.7%
B	9436	22.6%
i	575	1.4%
S	555	1.3%
v	555	1.3%
r	555	1.3%
G	116	0.3%
o	116	0.3%
Other values (6)	216	0.5%

Months_on_book
Real number (ℝ_≥0)

Distinct	44
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	35.9284092
Minimum	13
Maximum	56
Zeros	0
Zeros (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	13
5-th percentile	22
Q1	31
median	36
Q3	40
95-th percentile	50
Maximum	56
Range	43
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.986416331
Coefficient of variation (CV)	0.2222869453
Kurtosis	0.4001001202
Mean	35.9284092
Median Absolute Deviation (MAD)	4
Skewness	-0.1065653599
Sum	363847
Variance	63.78284581
Monotocity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
36	2463	24.3%
37	358	3.5%
34	353	3.5%
38	347	3.4%
39	341	3.4%
40	333	3.3%
31	318	3.1%
35	317	3.1%
33	305	3.0%
30	300	3.0%
Other values (34)	4692	46.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13	70	0.7%
14	16	0.2%
15	34	0.3%
16	29	0.3%
17	39	0.4%

Value	Count	Frequency (%)
56	103	1.0%
55	42	0.4%
54	53	0.5%
53	78	0.8%
52	62	0.6%

Total_Relationship_Count
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.812580231
Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.554407865
Coefficient of variation (CV)	0.4077049586
Kurtosis	-1.006130507
Mean	3.812580231
Median Absolute Deviation (MAD)	1
Skewness	-0.162452415
Sum	38610
Variance	2.416183812
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	2305	22.8%
4	1912	18.9%
5	1891	18.7%
6	1866	18.4%
2	1243	12.3%
1	910	9.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	910	9.0%
2	1243	12.3%
3	2305	22.8%
4	1912	18.9%
5	1891	18.7%

Value	Count	Frequency (%)
6	1866	18.4%
5	1891	18.7%
4	1912	18.9%
3	2305	22.8%
2	1243	12.3%

Months_Inactive_12_mon
Real number (ℝ_≥0)

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.341167177
Minimum	0
Maximum	6
Zeros	29
Zeros (%)	0.3%
Memory size	79.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.010622399
Coefficient of variation (CV)	0.4316745978
Kurtosis	1.098522614
Mean	2.341167177
Median Absolute Deviation (MAD)	1
Skewness	0.633061129
Sum	23709
Variance	1.021357634
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	3846	38.0%
2	3282	32.4%
1	2233	22.0%
4	435	4.3%
5	178	1.8%
6	124	1.2%
0	29	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	29	0.3%
1	2233	22.0%
2	3282	32.4%
3	3846	38.0%
4	435	4.3%

Value	Count	Frequency (%)
6	124	1.2%
5	178	1.8%
4	435	4.3%
3	3846	38.0%
2	3282	32.4%

Contacts_Count_12_mon
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.455317468
Minimum	0
Maximum	6
Zeros	399
Zeros (%)	3.9%
Memory size	79.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.106225143
Coefficient of variation (CV)	0.4505426109
Kurtosis	0.0008626566254
Mean	2.455317468
Median Absolute Deviation (MAD)	1
Skewness	0.01100562622
Sum	24865
Variance	1.223734066
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	3380	33.4%
2	3227	31.9%
1	1499	14.8%
4	1392	13.7%
0	399	3.9%
5	176	1.7%
6	54	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	399	3.9%
1	1499	14.8%
2	3227	31.9%
3	3380	33.4%
4	1392	13.7%

Value	Count	Frequency (%)
6	54	0.5%
5	176	1.7%
4	1392	13.7%
3	3380	33.4%
2	3227	31.9%

Credit_Limit
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6205
Distinct (%)	61.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8631.953698
Minimum	1438.3
Maximum	34516
Zeros	0
Zeros (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	1438.3
5-th percentile	1438.51
Q1	2555
median	4549
Q3	11067.5
95-th percentile	34516
Maximum	34516
Range	33077.7
Interquartile range (IQR)	8512.5

Descriptive statistics

Standard deviation	9088.77665
Coefficient of variation (CV)	1.052922313
Kurtosis	1.808989336
Mean	8631.953698
Median Absolute Deviation (MAD)	2593
Skewness	1.666725808
Sum	87415795.1
Variance	82605861
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34516	508	5.0%
1438.3	507	5.0%
15987	18	0.2%
9959	18	0.2%
23981	12	0.1%
6224	11	0.1%
2490	11	0.1%
3735	11	0.1%
7469	10	0.1%
2069	8	0.1%
Other values (6195)	9013	89.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1438.3	507	5.0%
1439	2	< 0.1%
1440	1	< 0.1%
1441	2	< 0.1%
1442	1	< 0.1%

Value	Count	Frequency (%)
34516	508	5.0%
34496	1	< 0.1%
34458	1	< 0.1%
34427	1	< 0.1%
34198	1	< 0.1%

Total_Revolving_Bal
Real number (ℝ_≥0)

ZEROS

Distinct	1974
Distinct (%)	19.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1162.814061
Minimum	0
Maximum	2517
Zeros	2470
Zeros (%)	24.4%
Memory size	79.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	359
median	1276
Q3	1784
95-th percentile	2517
Maximum	2517
Range	2517
Interquartile range (IQR)	1425

Descriptive statistics

Standard deviation	814.9873352
Coefficient of variation (CV)	0.7008750257
Kurtosis	-1.145991782
Mean	1162.814061
Median Absolute Deviation (MAD)	591
Skewness	-0.1488372503
Sum	11775818
Variance	664204.3566
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2470	24.4%
2517	508	5.0%
1965	12	0.1%
1480	12	0.1%
1720	11	0.1%
1664	11	0.1%
1434	11	0.1%
1542	10	0.1%
1175	10	0.1%
1560	10	0.1%
Other values (1964)	7062	69.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2470	24.4%
132	1	< 0.1%
134	1	< 0.1%
145	1	< 0.1%
154	1	< 0.1%

Value	Count	Frequency (%)
2517	508	5.0%
2514	3	< 0.1%
2513	1	< 0.1%
2512	2	< 0.1%
2511	1	< 0.1%

Avg_Open_To_Buy
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6813
Distinct (%)	67.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7469.139637
Minimum	3
Maximum	34516
Zeros	0
Zeros (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	3
5-th percentile	480.3
Q1	1324.5
median	3474
Q3	9859
95-th percentile	32183.4
Maximum	34516
Range	34513
Interquartile range (IQR)	8534.5

Descriptive statistics

Standard deviation	9090.685324
Coefficient of variation (CV)	1.217099394
Kurtosis	1.798617296
Mean	7469.139637
Median Absolute Deviation (MAD)	2665
Skewness	1.661696546
Sum	75639977.1
Variance	82640559.65
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1438.3	324	3.2%
34516	98	1.0%
31999	26	0.3%
787	8	0.1%
953	7	0.1%
701	7	0.1%
463	7	0.1%
713	7	0.1%
740	6	0.1%
933	6	0.1%
Other values (6803)	9631	95.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	1	< 0.1%
10	1	< 0.1%
14	2	< 0.1%
15	1	< 0.1%
24	1	< 0.1%

Value	Count	Frequency (%)
34516	98	1.0%
34362	1	< 0.1%
34302	1	< 0.1%
34300	1	< 0.1%
34297	1	< 0.1%

Total_Amt_Chng_Q4_Q1
Real number (ℝ_≥0)

Distinct	1158
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.7599406537
Minimum	0
Maximum	3.397
Zeros	5
Zeros (%)	< 0.1%
Memory size	79.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0.463
Q1	0.631
median	0.736
Q3	0.859
95-th percentile	1.103
Maximum	3.397
Range	3.397
Interquartile range (IQR)	0.228

Descriptive statistics

Standard deviation	0.2192067692
Coefficient of variation (CV)	0.288452484
Kurtosis	9.993501179
Mean	0.7599406537
Median Absolute Deviation (MAD)	0.114
Skewness	1.732063411
Sum	7695.919
Variance	0.04805160768
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.791	36	0.4%
0.743	34	0.3%
0.712	34	0.3%
0.735	33	0.3%
0.718	33	0.3%
0.722	32	0.3%
0.744	32	0.3%
0.699	32	0.3%
0.767	31	0.3%
0.69	31	0.3%
Other values (1148)	9799	96.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5	< 0.1%
0.01	1	< 0.1%
0.018	1	< 0.1%
0.046	1	< 0.1%
0.061	2	< 0.1%

Value	Count	Frequency (%)
3.397	1	< 0.1%
3.355	1	< 0.1%
2.675	1	< 0.1%
2.594	1	< 0.1%
2.368	1	< 0.1%

Total_Trans_Amt
Real number (ℝ_≥0)

Distinct	5033
Distinct (%)	49.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4404.086304
Minimum	510
Maximum	18484
Zeros	0
Zeros (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	510
5-th percentile	1283.3
Q1	2155.5
median	3899
Q3	4741
95-th percentile	14212
Maximum	18484
Range	17974
Interquartile range (IQR)	2585.5

Descriptive statistics

Standard deviation	3397.129254
Coefficient of variation (CV)	0.7713584656
Kurtosis	3.894023406
Mean	4404.086304
Median Absolute Deviation (MAD)	1308
Skewness	2.041003403
Sum	44600182
Variance	11540487.17
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4253	11	0.1%
4509	11	0.1%
2229	10	0.1%
4518	10	0.1%
4869	9	0.1%
4042	9	0.1%
4313	9	0.1%
4220	9	0.1%
4498	9	0.1%
4037	9	0.1%
Other values (5023)	10031	99.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
510	1	< 0.1%
530	1	< 0.1%
563	1	< 0.1%
569	1	< 0.1%
594	1	< 0.1%

Value	Count	Frequency (%)
18484	1	< 0.1%
17995	1	< 0.1%
17744	1	< 0.1%
17634	1	< 0.1%
17628	1	< 0.1%

Total_Trans_Ct
Real number (ℝ_≥0)

Distinct	126
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	64.85869458
Minimum	10
Maximum	139
Zeros	0
Zeros (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	10
5-th percentile	28
Q1	45
median	67
Q3	81
95-th percentile	105
Maximum	139
Range	129
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	23.47257045
Coefficient of variation (CV)	0.3619032206
Kurtosis	-0.3671632411
Mean	64.85869458
Median Absolute Deviation (MAD)	17
Skewness	0.1536730685
Sum	656824
Variance	550.9615635
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
81	208	2.1%
75	203	2.0%
71	203	2.0%
82	202	2.0%
69	202	2.0%
76	198	2.0%
77	197	1.9%
70	193	1.9%
78	190	1.9%
74	190	1.9%
Other values (116)	8141	80.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	4	< 0.1%
11	2	< 0.1%
12	4	< 0.1%
13	5	< 0.1%
14	9	0.1%

Value	Count	Frequency (%)
139	1	< 0.1%
138	1	< 0.1%
134	1	< 0.1%
132	1	< 0.1%
131	6	0.1%

Total_Ct_Chng_Q4_Q1
Real number (ℝ_≥0)

Distinct	830
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.7122223758
Minimum	0
Maximum	3.714
Zeros	7
Zeros (%)	0.1%
Memory size	79.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0.368
Q1	0.582
median	0.702
Q3	0.818
95-th percentile	1.069
Maximum	3.714
Range	3.714
Interquartile range (IQR)	0.236

Descriptive statistics

Standard deviation	0.2380860913
Coefficient of variation (CV)	0.3342861716
Kurtosis	15.6892929
Mean	0.7122223758
Median Absolute Deviation (MAD)	0.119
Skewness	2.064030568
Sum	7212.676
Variance	0.05668498689
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.667	171	1.7%
1	166	1.6%
0.5	161	1.6%
0.75	156	1.5%
0.6	113	1.1%
0.8	101	1.0%
0.714	92	0.9%
0.833	85	0.8%
0.778	69	0.7%
0.625	63	0.6%
Other values (820)	8950	88.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7	0.1%
0.028	1	< 0.1%
0.029	1	< 0.1%
0.038	1	< 0.1%
0.053	1	< 0.1%

Value	Count	Frequency (%)
3.714	1	< 0.1%
3.571	1	< 0.1%
3.5	1	< 0.1%
3.25	1	< 0.1%
3	2	< 0.1%

Avg_Utilization_Ratio
Real number (ℝ_≥0)

ZEROS

Distinct	964
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2748935519
Minimum	0
Maximum	0.999
Zeros	2470
Zeros (%)	24.4%
Memory size	79.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.023
median	0.176
Q3	0.503
95-th percentile	0.793
Maximum	0.999
Range	0.999
Interquartile range (IQR)	0.48

Descriptive statistics

Standard deviation	0.2756914693
Coefficient of variation (CV)	1.002902641
Kurtosis	-0.7949719515
Mean	0.2748935519
Median Absolute Deviation (MAD)	0.176
Skewness	0.7180079968
Sum	2783.847
Variance	0.07600578622
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2470	24.4%
0.073	44	0.4%
0.057	33	0.3%
0.048	32	0.3%
0.06	30	0.3%
0.045	29	0.3%
0.061	29	0.3%
0.069	28	0.3%
0.059	28	0.3%
0.053	27	0.3%
Other values (954)	7377	72.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2470	24.4%
0.004	1	< 0.1%
0.005	1	< 0.1%
0.006	3	< 0.1%
0.007	1	< 0.1%

Value	Count	Frequency (%)
0.999	1	< 0.1%
0.995	1	< 0.1%
0.994	1	< 0.1%
0.992	1	< 0.1%
0.99	1	< 0.1%

Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1704
Distinct (%)	16.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.159997464
Minimum	7.6642 × 10⁶
Maximum	0.99958
Zeros	0
Zeros (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	7.6642 × 10⁶
5-th percentile	4.2358 × 10⁵
Q1	9.8983 × 10⁵
median	0.00018146
Q3	0.0003373
95-th percentile	0.99697
Maximum	0.99958
Range	0.9995723358
Interquartile range (IQR)	0.000238317

Descriptive statistics

Standard deviation	0.3653010124
Coefficient of variation (CV)	2.283167516
Kurtosis	1.417535175
Mean	0.159997464
Median Absolute Deviation (MAD)	0.000110234
Skewness	1.848538415
Sum	1620.294318
Variance	0.1334448296
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.00019864	80	0.8%
0.0003139	78	0.8%
0.00030251	77	0.8%
0.00018665	73	0.7%
0.00011382	71	0.7%
0.00019143	66	0.7%
0.00011811	66	0.7%
0.00017987	63	0.6%
0.00018145	60	0.6%
0.00016883	59	0.6%
Other values (1694)	9434	93.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7.6642 × 10⁶	1	< 0.1%
7.7559 × 10⁶	1	< 0.1%
1.0252 × 10⁵	1	< 0.1%
1.0546 × 10⁵	1	< 0.1%
1.1536 × 10⁵	1	< 0.1%

Value	Count	Frequency (%)
0.99958	3	< 0.1%
0.99954	1	< 0.1%
0.99945	3	< 0.1%
0.99944	4	< 0.1%
0.99943	1	< 0.1%

Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	640
Distinct (%)	6.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.8400025708
Minimum	0.00041998
Maximum	0.99999
Zeros	0
Zeros (%)	0.0%
Memory size	79.2 KiB

Quantile statistics

Minimum	0.00041998
5-th percentile	0.00302546
Q1	0.99966
median	0.99982
Q3	0.9999
95-th percentile	0.99996
Maximum	0.99999
Range	0.99957002
Interquartile range (IQR)	0.00024

Descriptive statistics

Standard deviation	0.3653010371
Coefficient of variation (CV)	0.4348808561
Kurtosis	1.417535174
Mean	0.8400025708
Median Absolute Deviation (MAD)	0.00011
Skewness	-1.848538414
Sum	8506.706035
Variance	0.1334448477
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.99989	631	6.2%
0.99994	551	5.4%
0.99981	478	4.7%
0.9999	452	4.5%
0.99993	394	3.9%
0.99988	391	3.9%
0.99982	373	3.7%
0.9998	344	3.4%
0.99991	341	3.4%
0.99969	322	3.2%
Other values (630)	5850	57.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.00041998	2	< 0.1%
0.00042446	1	< 0.1%
0.00046237	1	< 0.1%
0.00055285	3	< 0.1%
0.00055875	2	< 0.1%

Value	Count	Frequency (%)
0.99999	6	0.1%
0.99998	98	1.0%
0.99997	260	2.6%
0.99996	183	1.8%
0.99995	265	2.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	CLIENTNUM	Attrition_Flag	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2
0	768805383	Existing Customer	45	M	3	High School	Married	$60K - $80K	Blue	39	5	1	3	12691.0	777	11914.0	1.335	1144	42	1.625	0.061	0.000093	0.99991
1	818770008	Existing Customer	49	F	5	Graduate	Single	Less than $40K	Blue	44	6	1	2	8256.0	864	7392.0	1.541	1291	33	3.714	0.105	0.000057	0.99994
2	713982108	Existing Customer	51	M	3	Graduate	Married	$80K - $120K	Blue	36	4	1	0	3418.0	0	3418.0	2.594	1887	20	2.333	0.000	0.000021	0.99998
3	769911858	Existing Customer	40	F	4	High School	Unknown	Less than $40K	Blue	34	3	4	1	3313.0	2517	796.0	1.405	1171	20	2.333	0.760	0.000134	0.99987
4	709106358	Existing Customer	40	M	3	Uneducated	Married	$60K - $80K	Blue	21	5	1	0	4716.0	0	4716.0	2.175	816	28	2.500	0.000	0.000022	0.99998
5	713061558	Existing Customer	44	M	2	Graduate	Married	$40K - $60K	Blue	36	3	1	2	4010.0	1247	2763.0	1.376	1088	24	0.846	0.311	0.000055	0.99994
6	810347208	Existing Customer	51	M	4	Unknown	Married	$120K +	Gold	46	6	1	3	34516.0	2264	32252.0	1.975	1330	31	0.722	0.066	0.000123	0.99988
7	818906208	Existing Customer	32	M	0	High School	Unknown	$60K - $80K	Silver	27	2	2	2	29081.0	1396	27685.0	2.204	1538	36	0.714	0.048	0.000086	0.99991
8	710930508	Existing Customer	37	M	3	Uneducated	Single	$60K - $80K	Blue	36	5	2	0	22352.0	2517	19835.0	3.355	1350	24	1.182	0.113	0.000045	0.99996
9	719661558	Existing Customer	48	M	2	Graduate	Single	$80K - $120K	Blue	36	6	3	3	11656.0	1677	9979.0	1.524	1441	32	0.882	0.144	0.000303	0.99970

Last rows

	CLIENTNUM	Attrition_Flag	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2
10117	712503408	Existing Customer	57	M	2	Graduate	Married	$80K - $120K	Blue	40	6	3	4	17925.0	1909	16016.0	0.712	17498	111	0.820	0.106	0.000516	0.999480
10118	713755458	Attrited Customer	50	M	1	Unknown	Unknown	$80K - $120K	Blue	36	6	3	4	9959.0	952	9007.0	0.825	10310	63	1.100	0.096	0.998130	0.001874
10119	716893683	Attrited Customer	55	F	3	Uneducated	Single	Unknown	Blue	47	4	3	3	14657.0	2517	12140.0	0.166	6009	53	0.514	0.172	0.996910	0.003088
10120	710841183	Existing Customer	54	M	1	High School	Single	$60K - $80K	Blue	34	5	2	0	13940.0	2109	11831.0	0.660	15577	114	0.754	0.151	0.000038	0.999960
10121	713899383	Existing Customer	56	F	1	Graduate	Single	Less than $40K	Blue	50	4	1	4	3688.0	606	3082.0	0.570	14596	120	0.791	0.164	0.000148	0.999850
10122	772366833	Existing Customer	50	M	2	Graduate	Single	$40K - $60K	Blue	40	3	2	3	4003.0	1851	2152.0	0.703	15476	117	0.857	0.462	0.000191	0.999810
10123	710638233	Attrited Customer	41	M	2	Unknown	Divorced	$40K - $60K	Blue	25	4	2	3	4277.0	2186	2091.0	0.804	8764	69	0.683	0.511	0.995270	0.004729
10124	716506083	Attrited Customer	44	F	1	High School	Married	Less than $40K	Blue	36	5	3	4	5409.0	0	5409.0	0.819	10291	60	0.818	0.000	0.997880	0.002118
10125	717406983	Attrited Customer	30	M	2	Graduate	Unknown	$40K - $60K	Blue	36	4	3	3	5281.0	0	5281.0	0.535	8395	62	0.722	0.000	0.996710	0.003294
10126	714337233	Attrited Customer	43	F	2	Graduate	Married	Less than $40K	Silver	25	6	2	4	10388.0	1961	8427.0	0.703	10294	61	0.649	0.189	0.996620	0.003377

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows